Techniques and Tools for the Automatic Generation of Optimal Test Data at Code, Model and Interface Level

Pinte FA, Oster N, Saglietti F (2008)


Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2008

Journal

Publisher: IEEE

Edited Volumes: Proceedings - International Conference on Software Engineering

City/Town: New York, NY, USA

Pages Range: 927-928

Conference Proceedings Title: Companion of the 30th international conference on Software engineering (ICSE Companion '08)

Event location: Leipzig DE

ISBN: 978-1-60558-079-1

URI: http://dl.acm.org/ft_gateway.cfm?id=1370191

DOI: 10.1145/1370175.1370191

Abstract

This article presents two different tools automating the generation of optimized test data for unit, model-based and integration testing by maximizing the coverage and minimizing the number of test cases required. To cope with these conflicting goals, hybrid self-adaptive and multi-objective evolutionary algorithms were applied. The efficiency was demonstrated by evaluating fault detection capability by mutation testing. Thanks to the effort reduction offered, the approach is particularly suitable for the verification of complex, safety-relevant software systems.

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APA:

Pinte, F.-A., Oster, N., & Saglietti, F. (2008). Techniques and Tools for the Automatic Generation of Optimal Test Data at Code, Model and Interface Level. In Companion of the 30th international conference on Software engineering (ICSE Companion '08) (pp. 927-928). Leipzig, DE: New York, NY, USA: IEEE.

MLA:

Pinte, Florin-Avram, Norbert Oster, and Francesca Saglietti. "Techniques and Tools for the Automatic Generation of Optimal Test Data at Code, Model and Interface Level." Proceedings of the 30th International Conference on Software Engineering (ICSE 2008), Leipzig New York, NY, USA: IEEE, 2008. 927-928.

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